Our client’s leading segmentation and AI-driven matching technologies help consumers find better solutions and brands faster. Their campaign-results-driven matching decision engines and optimization algorithms are built from over 20 years and billions of dollars of online media experience.
They are seeking a
Machine Learning Engineer to join their team on a full-time basis. In this role, you will design, develop, and deploy machine learning models and algorithms to enhance digital performance marketing platforms. You’ll collaborate with cross-functional teams to solve complex problems and deliver scalable solutions.
Job Title: Machine Learning Engineer
Location: Fully Remote. Candidates must be in the United States to be considered.
Required Technology & Skills
- Master’s degree in computer science, Machine Learning, Data Science, or a related field.
- 2+ years in machine learning, data analysis, or a related role
- Proficiency in programming languages such as Python or Scala
- Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn
- Strong understanding of algorithms, data structures, and statistical methods
- Excellent problem-solving skills, and an analytical mindset
- Familiarity with cloud technologies (AWS, GCP, Azure)
- Familiarity with containerization tools such as Docker or Kubernetes
Additional Skills
- Experience in digital marketing or ad tech industries
- Knowledge of natural language processing (NLP) and recommender systems
- Excellent written and verbal communication skills
Benefits/Perks
- Comprehensive Benefits Package (health, dental, vision)
- Opportunities for professional growth and development
- Dynamic and inclusive workplace culture
- Quarterly visits to their Foster City, CA location
- Annual Bonus
- Equity
Compensation: $160-175k base salary, depending on experience.
Additional Information: For additional information or to apply, please contact Alexa Buzby at abuzby@talener.com
